In this discussion with Tori McNoe we talk about how she is weaving knowledge systems together to the benefit of all but also how she's navigating the world of supporting rangtahi Māori (young Māori) and working to give them a voice in our society.Prof. Ekant Veer tarafından oluşturuldu

This is something a bit different - I get asked to do a lot of public speaking and I gave a kōrero at the Christchurch Art Gallery on "Marketing Manipulation" as an accompanying talk to the art exhibition by James Oram. There are slides associated with this discussion but hopefully you can make out what is happening - if not, sing out and I'll send…

In this episode I speak with the world famous in New Zealand, Sir Ashley Bloomfield about his approach to leading the country through the COVID pandemic. We're also joined by Prof. Stacy Wood who studies medical decision-making and the intersection between marketing, medicine and behaviour change. This is part of the University of Canterbury's MBA …

Meg Nelis has spent her life advocating for positive mental wellbeing amongst young people. She draws on the very best 'book' knowledge, with practical tips and weaves them together in her own journey of mental wellbeing. We do touch on our own experiences of mental wellbeing so this is a trigger warning for those who struggle with depression, anxi…

In this episode I speak with Anton Matthews from the Hustle Group. Anton speaks not just about the hospo sector but also how he uses this platform to share his knowledge and passion for Te Ao Māori (the Māori world) to build it up on the business world and provide opportunities for the next generation of Māori leaders. Check him out on Insta (@Anto…

I love Liam's approach to comms, marketing and life. He's walking that line of reach and relevance in a manner that taps into what is happening in our world. Sometimes that can be considered 'off-brand' in some marketers' minds, but it works for him and his brands. Hear him talk about how he engages, how he decides what's 'too far' and what he thin…

In this episode Assoc. Prof. Ann-Marie Kennedy, Dr. Joya Kemper and I discuss how social marketing (marketing for social good/wellbeing) can be effectively taught. We recently had a paper published on this in the Journal of Social Marketing (https://doi.org/10.1108/JSOCM-08-2021-0192) and we go into a bit more depth as to why we feel it's important…

Carl is the Founder and Chief Social Scientist for Research First, Ōtautahi Christchurch's premier Market Research agency. He brings a strong social science approach to his research and uses that to add value to his clientele. As a practitioner, academic and policy influencer he spans a number of worlds with a heart for pro-social behavioural chang…

Today we're talking with the ChristchurchNZ's GM for Marketing, Brand and Communication, Anna Fawcett. Anna has a rich experience of place and festival planning around the world, including the Global Head of Marketing for TopDeck Travel, before moving to Ōtautahi Christchurch to head up the marketing for the city. We talk about all the complexities…

Understanding people is one of the most complex parts of marketing - but, for some reason, young people seem to be magnitudes more complex in the eyes of people my age and above. In this episode I chat with three amazing rangatahi (young leaders) who all operate in different spaces to help activate young diverse voices and help us to de-mystify you…

In this episode I kōrero (chat) with Alyce Lysaght who is the founder of the Māori in Engineering podcast. The more I listened to her podcast the more I realised what she was talking about with her guests was relevant to the business world, too. In this discussion we talk about the importance of Te Ao Māori (Māori worldview) and how she stays cultu…

Emma Crequer has worked as a digital marketing expert for a number of innovative brands as well as being one of the Marketing Association Southern Hub's speakers on driving success from digital campaigns. In this kōrero Emma talks about her approach and the importance of building relationships in digital spaces and what others can do to maximise th…

In this kōrero I chat with Pera May on how she incorporates her personal values into her design and creative brand. Pera is the owner and founder of Pera May (www.peramay.com) which seeks to leverage creativity and design through fashion but also share a message of people, education, sustainability and ethicality. We talk all things branding and ma…

This is a new series on Consumerism and technology. Amazon Go stores are open now which shows a staggering feat of technology. Understanding consumer pain points is key to acquiring customers. Till now companies used search results and text to model consumer behavior pattern. Now recognizing patterns in video is easier and gives more insight to buy…

Marketing space is changing with the advent of voice and AI. Placing an ad on Facebook or on social media isn't enough. Its about finding patterns in your data and what your consumer prefers.

Consumers are looking for better option and leave lot of information that businesses aren't picking up when they shop around.

Consumers react to pricing and other variables in the economy. By gauging those changes their behavior can be influenced to buy more products. With machine learning the advantage evaluating factors that can affect sale is a big win. Better analysis leads to better solution.

Pricing is a big variable in analyzing consumer demand. Factors that needs to be considered are Fuel prices, basket of 150 products that are used by the consumer on a monthly basis, inflation, CPI, Unemployment, new movie, holiday season, insurance renewals, healthcare, etc. These variables stifle capital that could have been spend in ecommerce or …

Voice platform is pretty new and has the potential of android market. World is moving from text based engine to a voice based.

Amazon recently introduced subscription for alexa skills. That signifies a big volume of customers using the platform. Apparently amazon owns 70% of market share in voice space through strategic partnership, Acquisition and open sourcing. They acquired customers through every move.

Ecommerce sites could recommend products of search results most clicked or add to cart product to consumer thereby enhancing sales. Finding what the consumer wants is the game.

How search results are arranged and position of the products matter. They can arranged based on best seller and most click. Positioning of products in website. Ranking product based on how often consumer react to search

Having a great offer and pricing influences customers but lack of capital stifles them. The way around for retail, Grocery and ecommerce store is to have a strategic partnership with credit card companies to give cashback and offers on credit cards so it entices the customers to use it today to grab the advantage and pay back later.…

Consumer react to every offer, discount and pricing differently. So analyzing their behavior helps to evaluate sales and identify new preference of the consumer to recommend product that will bring value to consumer.

Demand is dependent how consumers react to different variables that affect them daily from Fuel prices, pricing of basket of products that are purchased weekly like Grocery and food, unemployment, CPI, availability of capital - Credit card offers and cashback.

Subscription model to discover food taste by sending 5 to 10 curated food products. Recognizing pattern by which consumers react with machine learning models to curate food and identify taste buds & change in taste over a period of time. This opens up platform to recommend restaurants that might have similar taste or complimentary one.…

By taking point of sale data and factor that influence customers like fuel price, CPI, unemployment, climate, promotion, depth of discount, pricing etc we evaluate demand and inventory requirement with higher accuracy for perishable products that has a shorter shelf life. Overstocking will not work here, so good model to evaluate metrics is needed.…

Consumer behavior analysis enhances sales for ecommerce environment. Trying different variables helps in finding consumer behaviors.

Personalization is about finding patterns in the consumer buying. Optimizing search results based on buying and click patterns. Finding new consumer preference to enhance sales.

Conversion rate has become the key variable to winning in ecommerce. Personalizing search results and product recommenders are winning strategy to enhance sales.

Voice technology is taking off big. Better interaction with your customer. There are numerous problems that can be solved with voice.

AI can take multiple variables that affect retail operation from pos data to weather to estimate demand and inventory with accuracy. This enhances supply chain operation reducing delivery time.

AI has proven to be a great tool to recognize patterns. By taking web analytics machine learning model can identify potential customers and interact with them through chatbots. Personalization is key.

Businesses rely on distribution to sell through. Product recommender system gives insight to consumer buying pattern. Its a big leverage to sell other products by finding consumer interest.

Voice tech offers lot of enhancement to daily operations of the consumer saving time and money by finding best offers & Low cost providers. It helps you find a new taste or music. Enables multitasking

First mover in the marketplace to identify the consumer preference will acquire customers. It comes down to how well you know your customer and their preference and factors that influence them to buy

Omnichannel management is key to optimizing retail store operation. Machine learning models are good at enhancing predictive demand cycle and recommender system to enhance sales.

Retail stores need to attract the customer to the stores. That requires identifying consumer preference and factor that influence consumer like pricing, discount, coupons, trends & bundle products.

Legacy software are good at enhancing dataflow. AI is about predicting sales, inventory and enhancing sales by analyzing consumer preference and pattern of buying

Voice technology and IoT will enable a interconnected world. Every device will have some kind of voice technology that will make customer experience better. Getting on the voice platform is the game.

Insurance sector has lagged innovation. With the advent of AI, the underwriting & claims process can be made efficient by reducing the time taken and better accuracy of prediction.

Chatbots market has grown significantly and many of the customer care problems have been resolved by chatbots. It all comes down to the creative of the individual in solving the problem with chatbots.

People are attracted by different variables in their career. Big data helps in finding factors that influence hiring of a great talent. Not everyone is looking for a great paycheck. Career path...

AI models are good at forecasting claims for Insurance companies. This helps companies to allocate and evaluate patterns in which the events occur. Provide education to consumers to avoid it.

Creating a podcast on Amazon alexa flash briefing will attract more audience. As it's listened to on a daily basis. Marketing should produce high value content for customer to attract and run some ads

Product recommenders help in recognizing consumer preference and demand. They provide insight & probability on products that haven't been purchased by the consumer. Sending a personalized product.

Voice technology is gaining traction fast. Amazon opened up interaction of voice in any device that has speaker and reciever. Every device in your home will talk to you to make comfort.

As the voice platform expand recommender systems are going to be deployed by every stores and business to personalize recommendation its the future of communication and sales.

As retail stores gear up for holiday season. Identifying customer preference is key to win customers in a highly competitive environment. AI enhances manufacturing operations, reducing defects.

By analyzing every variable influencing sales and customer preference, the probability of sale can be enhanced. A 10% increase in sale week over week when compounded yield big numbers. New preference.